Avery Design Systems, known for its functional verification solutions for key semiconductor technologies, including PCI Express (PCIe), Compute Express Link (CXL), and HMB3, now offers comprehensive support for the new Universal Chiplet Interconnect Express (UCIe) with high–quality models and test suites that support pre–silicon verification of systems using UCIe.
What does “neuromorphic” mean today?
“You will get 10 different answers from 10 different people,” laughed Luca Verre, CEO of Prophesee. “As companies take the step from ‘this is what we believe’ to ‘how can we make this a reality,’ what neuromorphic means will change.”
Most companies doing neuromorphic sensing and computing have a similar vision in mind, he said, but implementations and strategies will be different based on varying product, market, and investment constraints.
While in Silicon Valley for the 59th Design Automation Conference, I was offered the opportunity for an exclusive interview for EE Times with the legendary Carver Mead. Not one to say no to such a request, I was certainly glad to talk through some of what will be considered his legacy for generations to come.
An electronics engineer and applied physicist, Carver Mead, a Gordon and Betty Moore Professor of Engineering and Applied Science, Emeritus, at California Institute of Technology, was last month named the 2022 Kyoto Prize laureate in Advanced Technology. This is an international award bestowed by the non–profit Inamori Foundation to honor those who have contributed significantly to humankind’s scientific, cultural, and spiritual betterment; the Kyoto Prize was also bestowed upon Mead’s fellow Synaptics founder Federico Faggin in 1997.
High bandwidth memory (HBM) is becoming more mainstream. With the latest iteration’s specifications approved, vendors in the ecosystem are gearing to make sure it can be implemented so customers can begin to design, test and deploy systems.
The massive growth and diversity in artificial intelligence (AI) means HBM is less than niche. It’s even become less expensive, but it’s still a premium memory and requires expertise to implement. As a memory interface for 3D-stacked DRAM, HBM achieves higher bandwidth while using less power in a form factor that’s significantly smaller than DDR4 or GDDR5 by stacking as many as eight DRAM dies with an optional base die which can include buffer circuitry and test logic.
Most executives we talk to about internet of things (IoT) security emphasize similar points: the need for a strong root of trust, proper authentication mechanisms, and resilience. However, there are many different ways of enabling the various aspects of this security. One company focused on physical unclonable function (PUF) based security intellectual property is Intrinsic ID.
On weekdays, Barry Jack is an unassuming, soft-spoken senior optical engineer at a startup in Scotland. On weekends, he indulges his passion for performative percussion with an ensemble of taiko drummers.
We delve into the music, painting & photography that enhance the creative insight of the “renaissance” engineer.
Image sensors cover an expanded field of applications, ranging from smartphones to machine vision and automotive. Soon the day will come when artificial intelligence (AI) — both AI sensing and AI processing — takes place very close to the source of sensor data, if not directly at the sensor level.
The CMOS imaging sensor (CIS) market follows a continuous growth trend. According to market research firm Yole Développement, the CIS market revenue reached $19.3 billion in 2019, neared $21 billion in 2020 and is expected to get to $27 billion in 2025. It will also represent 5.1% of the global semiconductor sales in 2021, “becoming a very significant sub-segment,” said Pierre Cambou, principal analyst at Yole Développement, in a session at SEMI’s recent MEMS & Imaging Sensors Forum, as part of the Technology Unites Global Summit.
Looking at the different applications, CMOS image sensors started as webcams and mobile phones with the low-end, high-volume markets. They have gradually reached other segments such as automotive, broadcast, medical, and industrial segments. In 2019, for reference, the mobile segment represented almost 70% of the CIS revenue, while consumer photography accounted for about 5%, computing (i.e., PC and Tablets) for almost 8%, automotive for 7%, and industry around 3%. Last year, Cambou indicated, all these segments had a 25% growth, except for consumer photography.
Advances in artificial intelligence now enable sufficient accuracy in voice biometrics that it can be used for not just identification and personalization, but for applications such as payment authentication. A new solution from Synaptics and ID R&D offers AI-powered voice biometrics and anti-spoofing algorithms that can run on a Synaptics SoC in the edge device. Specifically, the software has been optimized for the neural processing unit (NPU) in Synaptics’ VS600 series for smart home devices such as set-top boxes (STBs), smart speakers and security systems.
Synaptics sells its AI-capable SoCs into smart home products which need to process video streaming, audio streaming and imaging. A typical use case might be a STB incorporating cameras for video conferencing, for example.
Voice biometrics is now accurate enough to enable payment authentication in smart home devices
“What’s common across the set top box application and becoming more common as time goes on is the ability to use voice as an interface,” Vineet Ganju, vice president of marketing at Synaptics told EE Times. “Remote controls can be voice enabled so you can talk into it to navigate your Netflix account and search for movies… voice as an interface is almost becoming standard in these applications.”
Automakers are beginning to introduce more safety features that can temporarily take over for drivers, and gradually more and more vehicles will be able to drive themselves. However, there’s little clarity for drivers what each feature actually does, when, and under what circumstances. When it isn’t clear who’s responsible for the vehicle – the driver or the car itself – that’s described as “mode confusion.” The concept is well known to aviators, but to hardly anyone else. This week we talk with former Navy pilot and professor of Electrical and Computer Engineering at Duke University, Missy Cummings, about the potential dangers to motorists if automakers fail to plan for mode confusion.
Dutch neuromorphic computing startup Innatera Nanosystems has completed a seed funding round, raising €5 million (around $6 million).
Innatera, a spin-out from the Delft University of Technology, is developing an analog chip designed to run spiking neural networks, a type of neural network often used in neuromorphic computing that is inspired by the way the brain works. Like other neuromorphic computing approaches, the benefits are dramatic improvements in power consumption and latency – Innatera claims its chip will allow sensor data to be processed 100x faster and with 500x less energy than using conventional digital processing.
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